GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Animate a fish tank with swimming fish and rising bubbles in one self-contained HTML file
OGPT-6.1 Soldefault · thinking on · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener
- Estimated cost
- $0.03
- Wall time
- 39s
- Human step-ins
- 0
- Outcome
- Pass
Compare with other models on this task →
Summary
Exact prompt
# Animate a fish tank with swimming fish and rising bubbles in one self-contained HTML file Make a small animated scene: a fish tank. Write one file, `out/scene.html`, that works opened straight from disk with no network access. `spec.json` gives the page title, the stage size and the scene parameters. **Looks are not scored**: the page is opened in a headless browser (800x600 window, UTC time zone, network blocked) and checked by objective tests only. ## Scene contract - Draw the scene on one `<canvas>` or `<svg>` stage of `width` x `height` CSS pixels (spec.json), visible on load, with `<title>` containing spec.json `title`. - Animate continuously from load (`requestAnimationFrame` or timers); no click is needed unless stated below. - Expose `window.sceneState()`, returning the scene's current state in stage pixel coordinates (origin top-left of the stage): `{fish: [{x, y}, ...], bubbles: [{x, y}, ...]}`. Extra fields are fine. It must describe what is actually drawn. - Bubbles may restart at the bottom once they reach the top; keep each bubble at the same array index. - The page must log no errors and throw no exceptions. Keep the file at most 200,000 bytes; no external scripts, fonts, images or URLs (inline everything). ## Checks (partial credit = share passed) 1. `self_contained`: `out/scene.html` exists, is at most 200,000 bytes, references no http(s) or protocol-relative URL, and requests nothing from the network when opened. 2. `has_canvas_or_svg`: a visible `<canvas>` or `<svg>` of at least 300x200 CSS pixels is on the page. 3. `frames_change`: over 3 s, some later screenshot differs from the first in at least 0.1% of pixels, and at least 3 of 30 screenshots differ. 4. `fish_swim`: `sceneState().fish` has exactly spec.json `fish` entries, every fish moves more than 2 px between samples 1.5 s apart, and every fish stays inside the stage. 5. `bubbles_rise`: `sceneState().bubbles` has at least `min_bubbles` entries and at least 60% of them move up (y decreases by more than 1 px) between samples 1.5 s apart. 6. `no_console_errors`: no uncaught exception, `console.error` or browser error is logged during the run. ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.
Original benchmark task written for usecaserank.com. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a ChatGPT subscription, not billed).
Success criteria: self_contained has_canvas_or_svg frames_change fish_swim bubbles_rise no_console_errors
Setup notes: Use Case Scout batch28 case d01-aquarium-fish-and-bubbles (offline fixture). Prepared with batch28/prepare.sh on the shared box; only TASK.md + starting files were copied to the agent machine, hidden key/tests stayed on the box. Prompt = TASK.md verbatim on stdin. Flags: --json -s workspace-write --skip-git-repo-check --ephemeral --ignore-user-config --ignore-rules -C <workdir>. Scored on the box with the scout's scorer: `MEDIA_DIR=<dir> python3 score.py WORKDIR KEYDIR`. Single run, no retries. User-level AGENTS.md (846 bytes, sha256 83ec4fe50da8) may have been in context; --ignore-user-config does not document excluding it. Serving model not confirmed: requested via -m; the event log does not echo the serving model id. Price source is secondary (pricing.json verification='secondary', https://www.actuia.com/en/news/ai-api-pricing-in-october-2026-050-to-50-for-output/), not an official OpenAI price page. Score: 6/6. Cost is an ESTIMATE: measured tokens x pricing.json list price (ChatGPT plan, nothing billed); input_tokens include cached reads; output_tokens include reasoning tokens. Tool calls 2 (0 failed, recovered). Single run.
Estimated cost List-price estimate; not actually billed.
Output
Metrics
- Estimated cost
- $0.03
- Wall time
- 39s
- Human step-ins
- 0
- Turns
- 1
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking on | 47,583 | 1,316 | $0.03 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking on) via
Codex CLI 0.163.0 (codex exec --json), cloud. - It counts as a success only if it meets every success criterion: self_contained has_canvas_or_svg frames_change fish_swim bubbles_rise no_console_errors
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
Was this useful?
Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
{"type": "thread.started", "thread_id": "01a1645d-d96b-7ba1-bc65-b0d308c05fd5"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll read `spec.json` and create a self-contained canvas scene with swimming fish, rising bubbles, and the required state function.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc 'cat spec.json'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc 'cat spec.json'", "aggregated_output": "{\n \"title\": \"Aquarium 690\",\n \"width\": 700,\n \"height\": 450,\n \"file\": \"out/scene.html\",\n \"fish\": 6,\n \"min_bubbles\": 5\n}", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"mkdir -p out\ncat > out/scene.html <<'EOF'\n<\"'!doctype html>\n<html lang=\"en\">\n<head>\n<meta charset=\"utf-8\">\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n<title>Aquarium 690</title>\n<style>\nhtml,body{margin:0;min-height:100%;background:#102a39}body{display:flex;justify-content:center;align-items:flex-start;padding-top:24px}canvas{display:block;width:700px;height:450px;background:#08758c;border-radius:12px}\n</style>\n</head>\n<body>\n<canvas id=\"tank\" width=\"700\" height=\"450\" aria-label=\"Animated aquarium with six swimming fish and rising bubbles\"></canvas>\n<script>\n'\"'use strict';\nconst canvas=document.getElementById('tank');\nconst ctx=canvas.getContext('2d');\nconst W=700,H=450;\nconst colors=['#ffc857','#ff8068','#78e5cf','#c6a3ff','#ffacdc','#c5ef79'];\nlet state={fish:[],bubbles:[]};\nconst start=performance.now();\nfunction render(now){\n const t=(now-start)/1000;\n const fish=Array.from({length:6},(_,i)=>{\n const a=t*(0.42+i*0.025)+i*1.04;\n return {x:350+265*Math.sin(a),y:67+i*53+20*Math.cos(a),direction:Math.cos(a)>=0?1:-1};\n });\n const bubbles=Array.from({length:15},(_,i)=>({x:40+i*44+7*Math.sin(t*0.8+i),y:440-((i*29+t*22)%430),radius:4+i%4}));\n const water=ctx.createLinearGradient(0,0,0,H);water.addColorStop(0,'#149fba');water.addColorStop(1,'#063a5c');ctx.fillStyle=water;ctx.fillRect(0,0,W,H);\n ctx.fillStyle='rgba(190,244,255,.08)';\n for(let i=0;i<5;i++){ctx.beginPath();ctx.moveTo(70+i*150,0);ctx.lineTo(115+i*150,0);ctx.lineTo(260+i*150,H);ctx.lineTo(150+i*150,H);ctx.fill();}\n ctx.fillStyle='#c4ac75';ctx.fillRect(0,416,W,34);\n for(let i=0;i<11;i++){\n const x=20+i*66;ctx.strokeStyle=i%2?'#228c75':'#42b583';ctx.lineWidth=7;ctx.lineCap='round';ctx.beginPath();ctx.moveTo(x,426);ctx.quadraticCurveTo(x-18+5*Math.sin(t+i),380,x+8*Math.sin(t*.7+i),349-i%3*17);ctx.stroke();\n }\n for(const b of bubbles){ctx.beginPath();ctx.arc(b.x,b.y,b.radius,0,Math.PI*2);ctx.fillStyle='rgba(192,244,255,.16)';ctx.fill();ctx.strokeStyle='rgba(211,251,255,.75)';ctx.lineWidth=1.5;ctx.stroke();}\n fish.forEach((f,i)=>{\n ctx.save();ctx.translate(f.x,f.y);ctx.scale(f.direction,1);\n ctx.fillStyle=colors[i];ctx.beginPath();ctx.moveTo(-19,0);ctx.lineTo(-36,-15);ctx.lineTo(-36,15);ctx.closePath();ctx.fill();\n ctx.beginPath();ctx.ellipse(0,0,26,15,0,0,Math.PI*2);ctx.fill();\n ctx.fillStyle='rgba(255,255,255,.35)';ctx.beginPath();ctx.moveTo(-7,0);ctx.lineTo(4,-11);ctx.lineTo(7,9);ctx.fill();\n ctx.fillStyle='#fff';ctx.beginPath();ctx.arc(15,-4,5,0,Math.PI*2);ctx.fill();ctx.fillStyle='#102a39';ctx.beginPath();ctx.arc(17,-4,2.5,0,Math.PI*2);ctx.fill();ctx.restore();\n });\n state={fish,bubbles};\n requestAnimationFrame(render);\n}\nwindow.sceneState=()=>({fish:state.fish.map(f=>({...f})),bubbles:state.bubbles.map(b=>({...b}))});\nrender(start);\n</script>\n</body>\n</html>\nEOF\nnode -e \\\"const fs=require('fs');const s=fs.readFileSync('out/scene.html','utf8');new Function(s.match(/<script>([\\\\s\\\\S]*?)<\\\\/script>/)[1]);console.log('JavaScript syntax valid; file size:',Buffer.byteLength(s));\\\"\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"mkdir -p out\ncat > out/scene.html <<'EOF'\n<\"'!doctype html>\n<html lang=\"en\">\n<head>\n<meta charset=\"utf-8\">\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n<title>Aquarium 690</title>\n<style>\nhtml,body{margin:0;min-height:100%;background:#102a39}body{display:flex;justify-content:center;align-items:flex-start;padding-top:24px}canvas{display:block;width:700px;height:450px;background:#08758c;border-radius:12px}\n</style>\n</head>\n<body>\n<canvas id=\"tank\" width=\"700\" height=\"450\" aria-label=\"Animated aquarium with six swimming fish and rising bubbles\"></canvas>\n<script>\n'\"'use strict';\nconst canvas=document.getElementById('tank');\nconst ctx=canvas.getContext('2d');\nconst W=700,H=450;\nconst colors=['#ffc857','#ff8068','#78e5cf','#c6a3ff','#ffacdc','#c5ef79'];\nlet state={fish:[],bubbles:[]};\nconst start=performance.now();\nfunction render(now){\n const t=(now-start)/1000;\n const fish=Array.from({length:6},(_,i)=>{\n const a=t*(0.42+i*0.025)+i*1.04;\n return {x:350+265*Math.sin(a),y:67+i*53+20*Math.cos(a),direction:Math.cos(a)>=0?1:-1};\n });\n const bubbles=Array.from({length:15},(_,i)=>({x:40+i*44+7*Math.sin(t*0.8+i),y:440-((i*29+t*22)%430),radius:4+i%4}));\n const water=ctx.createLinearGradient(0,0,0,H);water.addColorStop(0,'#149fba');water.addColorStop(1,'#063a5c');ctx.fillStyle=water;ctx.fillRect(0,0,W,H);\n ctx.fillStyle='rgba(190,244,255,.08)';\n for(let i=0;i<5;i++){ctx.beginPath();ctx.moveTo(70+i*150,0);ctx.lineTo(115+i*150,0);ctx.lineTo(260+i*150,H);ctx.lineTo(150+i*150,H);ctx.fill();}\n ctx.fillStyle='#c4ac75';ctx.fillRect(0,416,W,34);\n for(let i=0;i<11;i++){\n const x=20+i*66;ctx.strokeStyle=i%2?'#228c75':'#42b583';ctx.lineWidth=7;ctx.lineCap='round';ctx.beginPath();ctx.moveTo(x,426);ctx.quadraticCurveTo(x-18+5*Math.sin(t+i),380,x+8*Math.sin(t*.7+i),349-i%3*17);ctx.stroke();\n }\n for(const b of bubbles){ctx.beginPath();ctx.arc(b.x,b.y,b.radius,0,Math.PI*2);ctx.fillStyle='rgba(192,244,255,.16)';ctx.fill();ctx.strokeStyle='rgba(211,251,255,.75)';ctx.lineWidth=1.5;ctx.stroke();}\n fish.forEach((f,i)=>{\n ctx.save();ctx.translate(f.x,f.y);ctx.scale(f.direction,1);\n ctx.fillStyle=colors[i];ctx.beginPath();ctx.moveTo(-19,0);ctx.lineTo(-36,-15);ctx.lineTo(-36,15);ctx.closePath();ctx.fill();\n ctx.beginPath();ctx.ellipse(0,0,26,15,0,0,Math.PI*2);ctx.fill();\n ctx.fillStyle='rgba(255,255,255,.35)';ctx.beginPath();ctx.moveTo(-7,0);ctx.lineTo(4,-11);ctx.lineTo(7,9);ctx.fill();\n ctx.fillStyle='#fff';ctx.beginPath();ctx.arc(15,-4,5,0,Math.PI*2);ctx.fill();ctx.fillStyle='#102a39';ctx.beginPath();ctx.arc(17,-4,2.5,0,Math.PI*2);ctx.fill();ctx.restore();\n });\n state={fish,bubbles};\n requestAnimationFrame(render);\n}\nwindow.sceneState=()=>({fish:state.fish.map(f=>({...f})),bubbles:state.bubbles.map(b=>({...b}))});\nrender(start);\n</script>\n</body>\n</html>\nEOF\nnode -e \\\"const fs=require('fs');const s=fs.readFileSync('out/scene.html','utf8');new Function(s.match(/<script>([\\\\s\\\\S]*?)<\\\\/script>/)[1]);console.log('JavaScript syntax valid; file size:',Buffer.byteLength(s));\\\"\"", "aggregated_output": "JavaScript syntax valid; file size: 2755\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "agent_message", "text": "Created [out/scene.html](out/scene.html) with six swimming fish, 15 rising bubbles, and `window.sceneState()`.\n\nSelf-contained, 700\u00d7450 pixels, with JavaScript syntax verified."}}
{"type": "turn.completed", "usage": {"input_tokens": 47583, "cached_input_tokens": 39680, "cache_write_input_tokens": 0, "output_tokens": 1316, "reasoning_output_tokens": 77}}